Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine Learning Engineer

Discovered MENA
London
9 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Location: Abu Dhabi (Relocation Required)

Tax-Free Salary: 35,000 - 45,000 AED (up to £115k P/A)


Discover the Opportunity

Are you ready to shape the future of AI? We’re seeking a talented and drivenMachine LearningEngineer to design and implement cutting-edge AI platforms. Collaborate with a global, multidisciplinary team to deliver impactful solutions across robotics, optimization, anomaly detection, and machine vision.


Discover the Responsibilities

As aMachine Learning Engineer, you will:

  • Utilize generative AI for data preparation, code creation, and idea validation.
  • Drive end-to-end development of Machine Learning features and projects.
  • Build proof-of-concepts using Deep Learning and traditional Data Science approaches.
  • Develop and optimize ML algorithms for real-world applications.
  • Work in a diverse, collaborative environment while ensuring compliance with QHSE and governance policies.


Discover the Requirements

  • Bachelor’s degree in Artificial Intelligence, Data Science, Computer Science, or related fields.
  • 5+ years of experience in AI/ML algorithm development and software engineering, including tools like NoSQL, Kubernetes, and Microservices.
  • Strong programming skills in Python and familiarity with other languages such as Go, Java, or C++.
  • Expertise in data structures, debugging, and optimizing ML pipelines for production.
  • Proficiency with Scikit-learn and deep learning frameworks like PyTorch, with experience in two or more domains:
  • NLP (semantic search, sentiment analysis, translation)
  • Image (OCR, detection, recognition)
  • Video (object tracking, anomaly detection)
  • Audio (speech-to-text, speaker recognition)
  • Recommendation Systems (retrieval, ranking, ad tech)


Looking to deliver innovative AI solutions and make a lasting impact. If you can work in Abu Dhabi(relocation required) Apply now!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.